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THE PROBLEM of MERGE El Problema De DOI: 10.36446/af.2020.338 THE PROBLEM OF MERGE El problema de ensamble MARIELA DESTÉFANO a ,b https://orcid.org/0000-0003-3145-0306 [email protected] a Universidad de Buenos Aires, Argentina b Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina Abstract Focusing on biolinguistic considerations, Merge is a formal operation proposed by theoretical linguistics and linked to specific principles of neural computation. In this sense, Merge can be viewed as a natural operation of the brain. Merge is commonly claimed to be a digital operation. In a first approximation, digital computation is the processing of strings of digits according to general rules defined over these digits. However, it seems that neural processes are not digital computations. These conflictive claims, e.g. the digital characterization of Merge and the non-digital characterization of the brain, leads to the following scenario: either Merge is an operation that is not realized in the brain or Merge is realized in the brain but not digitally. The purpose of this paper is to evaluate the problems posed by each thesis. Key words: Language Faculty; Digital Operation; Analog Operation; Neural Computation Resumen Desde la bioloinguistica, ensamble sería una operación digital realizada en el cerebro que, en tanto tal, estaría asociada a principios específicos de la computación neural. En una primera aproximación, la computación digital consiste en el procesamiento de cadenas de dígitos de acuerdo a reglas generales. Sin embargo, los procesos neurales no se desarrollarían de acuerdo a los principios de la computación digital. Estas afirmaciones en conflicto, e.g., la caracterización digital de ensamble y la caracterización no digital del cerebro, llevan al siguiente escenario: o bien ensamble es una operación que no realiza el cerebro, o bien es realizada por el cerebro pero no digitalmente. El propósito de este artículo es evaluar los problemas de estas dos tesis. Palabras clave Facultad del lenguaje; Operación digital; Operación analógica; Computación neural. ANÁLISIS FILOSÓFICO 40 Nº 1 - ISSN 0326-1301 - CC: BY-NC - (mayo 2020) 63-91 64 MARIELA DESTÉFANO 1. Introduction Within the biolinguistic approach, theoretical linguistics is biology “at a suitable level of abstraction” (Boeckx & Piattelli-Palmarini, 2005). It studies the Faculty of Language (FL), which is understood to be a “cognitive organ” of the individual mind/brain which shares many of the properties of visual perception, motor action, etc. I-language (“I” signifying individual, internal and intentional) is the computational system of the FL that generates the expressions (logical and phonological forms) that interface with conceptual-intentional and sensory-motor systems. The computational operation of I-language that generates such expressions is called “Merge”. Merge is an operation that combines two syntactic objects and to form a complex syntactic object K. Chomsky maintains that the value of K must at least include a label indicating the type to whichα K belongsβ (Chomsky, 1995). Logical considerations lead him to conclude that the label of K must be constructed from the two constituents and . Accordingly, the value of Merge ( , ) is K, which is either { ,{ , }} or{ ,{ , }}. Merge allows grammars, being themselves finite, to generateα anβ infinite number of linguistic expressionsα β (Al-Mutairi, 2014). Inα otherα β words,β α Mergeβ is the recursive mechanism responsible for the apparent discrete infinity of natural languages in the sense that, when language are thought of as sets of expressions, these sets are infinite. The infinitude claim also involves the idea that there is no limit on the potential length of linguistic expressions (‘there is no longest sentence’) (Hulst, 2010). Given that many notions of Merge proliferate in the literature, I will restrict my presentation to Chomsky´s characterization. Focusing on biological considerations, the formal operations proposed at the level of theoretical linguistics are linked to specific principles of neural computation. In this sense, Merge can be viewed as a natural operation of the brain (Boeckx, 2013b). Merge is commonly claimed to be a digital operation. In Chomsky’s words, “…we can think of recursion [Merge] as enumeration of a set of discrete objects by a computable finitary procedure, one that can be programmed for an ordinary digital computer that has access to unlimited memory and time” (Chomsky, 2014, p. 1). In a first approximation, digital computation is the processing of strings of digits according to general rules defined over these digits (Piccinini & Scarantino, 2010). This notion of “computation” was inherited from the pioneering works of Turing on computable functions (Turing, 1936). However, it seems that neural computations do not manipulate digital procedures (Piccinini & Bahar, ANÁLISIS FILOSÓFICO 40 Nº 1 (mayo 2020) THE PROBLEM OF MERGE 65 2013). These conflictive claims, e.g. the digital nature of Merge and the non-digital characterization of the brain, lead to the following scenario: either Merge is best understood as an operation that is not realized in the brain or Merge is realized in the brain but not digitally. This paper aims to evaluate the problems of each thesis and, in particular, it will examine the scope and difficulties of the second thesis in some detail. The article is organized as follows: Section 2 introduces the digital characterization of Merge, depicting a notion of “digit” and “digital operation” as inspired by Haugeland’s work. Section 3 presents my arguments as to why I believe that the brain does not operate in a digital way. For that purpose, I explore certain empirical data related to the electrochemical activity of the brain. Section 4 addresses the thesis that Merge is not realized in the brain and considers a range of methodological issues pertaining to the biolinguistic approach. Section 5 analyzes the thesis that Merge is realized in the brain but not digitally. I suggest that neuronal activity has some analog properties and I discuss the difficulties for an analog system to realize a digital operation. And finally, Section 6 contains the conclusions of the article. A disclaimer from the start: I am not a linguist, and, aside from a few linguistic issues that I will simple present in the first sections, I do not expect to say anything that turns on details of linguistic theory. The point of my discussion does not need any substantive linguistic commitment. 2. The Digital Characterization of Merge Merge is taken to be the basic combinatorial operation of I-language (Fukui, 2011). In its most elementary form, Merge is a simple grouping procedure that puts and together. It is a binary operation that takes two constituents as inputs and combines them to form a novel constituent. Merge operatesα β as a set formation rule, taking two already formed syntactic objects and constructing from them a new object: Merge ( ), ( ) = ( , ). This set formation operation is recursive, since it can be applied to its own outputs without limit, and it does not require any linearα orderβ α inβ the members of the set (Boeckx, 2009). Presumably, this set formation operation is very common across cognitive modules beyond the FL (Fujita, 2017). Furthermore, Merge is a procedure that gives rise to endocentric structures, since the new already formed object is labeled by one of the inputs. Merge selects one of the two members to be the head of the new construction and the head would be the unit over which Merge operates ANÁLISIS FILOSÓFICO 40 Nº 1 (mayo 2020) 66 MARIELA DESTÉFANO further combinations. For instance, when you put together a verb and a noun, typically what you get is a verb, and this complex construction acts as a verb in the next combinations. These headed constructions constitute the kind of hierarchical structures that we usually get in language. For instance, Merge composes the following hierarchical structure: {Mary, loves, books} First, composing a set that has “loves” and “books” as units and the verb as the head: {loves {loves, books}} And, second, forming another set that adds the unit “Mary” and keeps the verb as the head: {loves {Mary {loves{loves, books} In biolinguistic literature, Merge is generally considered a digital operation. Chomsky claims that “…we can think of recursion [Merge] as enumeration of a set of discrete objects by a computable finitary procedure, one that can be programmed for an ordinary digital computer that has access to unlimited memory and time” (Chomsky, 2014, p. 1) . It should be remarked that Merge yields a potentially infinite set of linguistic structures operating in the way drawn by the successor function (Chomsky, 2008; Kleene, 1952; Lobina, 2014). The successor function is a mathematical engine that underlies the “iterative conception of set”, which means a process in which sets are “recursively generated at each stage” (Boolos, 1971, p. 223). Peano´s definition of natural numbers is the classical locus, where the successor function is applied in order to construct a set and its members (Lobina, 2017). Following Kleene (1952) the successor function in natural numbers can be characterized in three steps: (i) 0 is a natural number (this is the basic clause), (ii) if n is a natural number, then n+1 (or n’) is also a natural number, (iii) all numbers are defined by steps (i) and (ii). Given that Merge would be mathematically characterized as a successor function and successor function is a computable function, its best explanation would to understand it as a digital operation. Systems which transform structures such as 1, … n into structures such as n +1 are best understood to manipulate rules that consider such ⦳ ⦳ ANÁLISIS⦳ FILOSÓFICO 40 Nº 1 (mayo 2020) THE PROBLEM OF MERGE 67 expressions as strings of digits. So, what then, would a digital operation be? The most straightforward notion is that of a “digital operation” in reference to digital computation. In referring to digital computation, Turing´s notion of computability is commonly mentioned, since Turing computation is often described as digital.
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